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Tiling resolution array CGH and high density expression profiling of urothelial carcinomas delineate genomic amplicons and candidate target genes specific for advanced tumors

Overview of attention for article published in BMC Medical Genomics, January 2008
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

blogs
1 blog
patent
1 patent
wikipedia
1 Wikipedia page

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
42 Mendeley
citeulike
2 CiteULike
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Title
Tiling resolution array CGH and high density expression profiling of urothelial carcinomas delineate genomic amplicons and candidate target genes specific for advanced tumors
Published in
BMC Medical Genomics, January 2008
DOI 10.1186/1755-8794-1-3
Pubmed ID
Authors

Markus Heidenblad, David Lindgren, Tord Jonson, Fredrik Liedberg, Srinivas Veerla, Gunilla Chebil, Sigurdur Gudjonsson, Åke Borg, Wiking Månsson, Mattias Höglund

Abstract

Urothelial carcinoma (UC) is characterized by nonrandom chromosomal aberrations, varying from one or a few changes in early-stage and low-grade tumors, to highly rearranged karyotypes in muscle-invasive lesions. Recent array-CGH analyses have shed further light on the genomic changes underlying the neoplastic development of UC, and have facilitated the molecular delineation amplified and deleted regions to the level of specific candidate genes. In the present investigation we combine detailed genomic information with expression information to identify putative target genes for genomic amplifications.

Mendeley readers

The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 5%
Brazil 1 2%
Unknown 39 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 31%
Student > Ph. D. Student 8 19%
Student > Doctoral Student 5 12%
Student > Master 4 10%
Professor > Associate Professor 3 7%
Other 5 12%
Unknown 4 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 19 45%
Medicine and Dentistry 8 19%
Biochemistry, Genetics and Molecular Biology 5 12%
Engineering 2 5%
Neuroscience 1 2%
Other 2 5%
Unknown 5 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 22 March 2016.
All research outputs
#1,155,915
of 12,907,188 outputs
Outputs from BMC Medical Genomics
#52
of 621 outputs
Outputs of similar age
#1,119,903
of 12,326,680 outputs
Outputs of similar age from BMC Medical Genomics
#52
of 620 outputs
Altmetric has tracked 12,907,188 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 621 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 91% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 12,326,680 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 620 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.